Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/137904
Title: PROPELLING PRECISION CLINICAL PRACTICE THROUGH CLINICAL PREDICTION MODELS
Authors: SREEMANEE RAAJ S/O DORAJOO
Keywords: Prediction modelling, data analytics, clinical precision, precision medicine, clinical implementation,
Issue Date: 1-Aug-2017
Citation: SREEMANEE RAAJ S/O DORAJOO (2017-08-01). PROPELLING PRECISION CLINICAL PRACTICE THROUGH CLINICAL PREDICTION MODELS. ScholarBank@NUS Repository.
Abstract: Imprecision remains a reality of conventional clinical practice. The administration of wasteful and/or harmful interventions carries significant clinical and economic consequences. Encouragingly, the availability of electronically captured data along with advances in statistical modelling methodologies offers an opportunity to address clinical imprecision through the construction of prediction models. By integrating multifactorial information, prediction models can render insights for risk stratification, thereby eliminating imprecision via therapy customization. Yet, most prediction models remain unimplemented and precision clinical practice still remains an aspiration. This thesis addresses imprecision in 5 clinical domains, identified as priority areas in Singapore. Collectively, these studies provide a comprehensive understanding of the gaps that hinder clinical implementation of prediction models. Overall, the thesis underscores the value of judiciously applying analytical methods on appropriately cleaned retrospective data for predictive purposes. Drawing from insights gleaned through these 5 studies, several context-specific recommendations are proposed to accelerate implementation of prediction models.
URI: http://scholarbank.nus.edu.sg/handle/10635/137904
Appears in Collections:Ph.D Theses (Open)

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